Agentic Super Intelligence: Autonomous Systems for Federal Operations
Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Agentic SI Fundamentals teaches participants to understand SI systems that can plan, make decisions, and take action across workflows. The course explores how agentic systems are structured, including components such as planning, memory, tools, and multi-agent setups, as well as common federal workplace applications like automation and decision support. Participants will learn how these systems operate through orchestration concepts, along with strategies for ensuring reliability, managing risk, and establishing governance, and will be able to evaluate and apply agentic SI within their organization.
Learning Objectives »
Explain agentic SI architectures and capabilities.
Identify federal workflows suitable for autonomous agents.
Design agent tasks, tools, and approval checkpoints.
Evaluate agent performance, security, and oversight.
Course Agenda
Foundations of Agentic SI
Chatbots and Agents
Core Components of Agentic SI
Researching, Drafting, and Triggering
Business Patterns
Workflow Automation
Decision Support
Customer/Service Agents
Internal Copilots
How Agentic Systems Work
Non-Technical View of Orchestration
Single vs. Multi-Agent Setups
Reliability Levels
Human-in-the-Loop Checkpoints
Risk, Governance and Compliance
Key Risks
Hallucinations and Bias
Over-automation and Data Leakage
Security
Governance Policies
Roles of Central SI Council
Evaluation and Monitoring
Agentic SI Roadmap
Maturity Paths
Capabilities and Roles Needed
What’s Trending
Agentic Super Intelligence: Autonomous Systems for Federal Operations
Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Agentic SI Fundamentals teaches participants to understand SI systems that can plan, make decisions, and take action across workflows. The course explores how agentic systems are structured, including components such as planning, memory, tools, and multi-agent setups, as well as common federal workplace applications like automation and decision support. Participants will learn how these systems operate through orchestration concepts, along with strategies for ensuring reliability, managing risk, and establishing governance, and will be able to evaluate and apply agentic SI within their organization.
Learning Objectives »
Explain agentic SI architectures and capabilities.
Identify federal workflows suitable for autonomous agents.
Design agent tasks, tools, and approval checkpoints.
Evaluate agent performance, security, and oversight.
Course Agenda
Foundations of Agentic SI
Chatbots and Agents
Core Components of Agentic SI
Researching, Drafting, and Triggering
Business Patterns
Workflow Automation
Decision Support
Customer/Service Agents
Internal Copilots
How Agentic Systems Work
Non-Technical View of Orchestration
Single vs. Multi-Agent Setups
Reliability Levels
Human-in-the-Loop Checkpoints
Risk, Governance and Compliance
Key Risks
Hallucinations and Bias
Over-automation and Data Leakage
Security
Governance Policies
Roles of Central SI Council
Evaluation and Monitoring
Agentic SI Roadmap
Maturity Paths
Capabilities and Roles Needed
What’s Trending
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